Senior Health Data Analyst

Veeva Systems

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Remote

Quick summary

Work type
Remote
Location
New York City, NYPleasantonColumbusBostonKansas CityRaleighToronto, Ontario, Canada
Salary
$80,000–$125,000 / yr
Posted
97 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k
This role $102k
$65k $218k
below market most similar roles pay here above market

This role pays less than 94% of similar roles. Most pay $130,187–$195,500 — the blue band above. At the midpoint, this role pays about $102k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Veeva Systems

Veeva Systems is a cloud software company serving the global life sciences industry, providing CRM, clinical, regulatory, quality, and data applications used by pharmaceutical and biotech companies.

Veeva Systems currently has 72 open roles on FindRole.

Listed pay typically runs $80,000–$175,000 across 69 roles with salary data.

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View all roles at Veeva Systems

At a glance

TL;DR · Senior Health Data Analyst

The Senior Health Data Analyst - Compass joins the Analytics team to support the Compass Patient data product. This role focuses on managing health data investigations, improving data quality, and launching new features for de-identified patient analytics. You will investigate internal and external data questions, define quality metrics, and build dashboards to track performance across billions of records. Key responsibilities include designing data analytics features like match, merge, and dedupe logic while establishing standard practices for data enrichment. The role requires advanced SQL skills to manipulate relational databases and knowledge of industry standard billing codes such as ICD, CPT/HCPCS, and NDC. Candidates should have experience with prescription and medical claims data. Preferred skills include Python, the Sigma BI tool, and experience with commercial life science use cases.

What you'll do

  • Investigate and resolve data observations and questions from internal and external stakeholders.
  • Identify data improvements by analyzing the product pipeline and its impact on data.
  • Build standard templates and practices to streamline data quality across target domains.
  • Own and execute key analytics projects within the data and feature roadmaps.
  • Design new data analytics and quality features including match, merge, and dedupe logic.
  • Establish quality metrics and build dashboards to drive continuous improvement of data products.
  • Launch new features to enhance data at scale across billions of records.

What we're looking for

  • 4+ years of experience analyzing prescription data and medical claims data.
  • Advanced SQL skills to query and manipulate relational databases.
  • Knowledge of industry standard billing codes such as ICD, CPT/HCPCS, and NDC.
  • Experience documenting and presenting analytics results with stakeholders.
  • Experience defining KPIs and building dashboards to measure success.
  • Experience in Python (preferred).
  • Experience with the BI tool Sigma (preferred).
  • Experience in commercial life science use cases (preferred).

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